การเขียนโปรแกรมและการประ
... A database object is a named data structure that is stored in a database. The specific types of database objects supported in a database vary from vendor to vendor and from one database model to another. Database model refers to the way in which a database organizes its data to pattern the real wor ...
... A database object is a named data structure that is stored in a database. The specific types of database objects supported in a database vary from vendor to vendor and from one database model to another. Database model refers to the way in which a database organizes its data to pattern the real wor ...
OWL2 based Data Cleansing Using Conditional Exclusion Dependencies
... data sources through a mediating ontology. Most research conducted in this area tackles ontology expressivity, computational efficiency of reasoning services and inferences associated to query answering. In this paper, we argue that data quality and data cleansing are domains where OBDA could contri ...
... data sources through a mediating ontology. Most research conducted in this area tackles ontology expressivity, computational efficiency of reasoning services and inferences associated to query answering. In this paper, we argue that data quality and data cleansing are domains where OBDA could contri ...
using openaccess sdk to expose erp data
... Queries are parsed and executed against each of the data sources in real-time and then the results are combined into a single result set and sent back to the client. The ODBC driver developed using OpenAccess SDK can enforce all the business rules, data conversions, security, and data configurations ...
... Queries are parsed and executed against each of the data sources in real-time and then the results are combined into a single result set and sent back to the client. The ODBC driver developed using OpenAccess SDK can enforce all the business rules, data conversions, security, and data configurations ...
Is Data Privacy Always Good For Sofware Testing
... Majority of DCAs use general-purpose programming languages and relational databases to maintain large amounts of data. Use JDBC or other similar approaches to execute queries on the DB. Once these queries are executed, the values of attributes of database tables are returned to DCAs, which in turn u ...
... Majority of DCAs use general-purpose programming languages and relational databases to maintain large amounts of data. Use JDBC or other similar approaches to execute queries on the DB. Once these queries are executed, the values of attributes of database tables are returned to DCAs, which in turn u ...
Microsoft Sql Server 2012 Power View
... When creating data visualizations always start with a table then switch between different available visualizations such matrices , bubble charts, bar and line graphs, and even small set of multiple charts. Easy filtering and highlighting of data because Power View knows the relationships between the ...
... When creating data visualizations always start with a table then switch between different available visualizations such matrices , bubble charts, bar and line graphs, and even small set of multiple charts. Easy filtering and highlighting of data because Power View knows the relationships between the ...
Paper 77
... TB cases, and etc. are stored in Micro Excel, Micro Access or dBase files. Many dynamical data analyses and reports need to combine the data from different sources. Therefore, automatically and directly pulling data from different database management systems (DBMS) or spreadsheets into SAS will be v ...
... TB cases, and etc. are stored in Micro Excel, Micro Access or dBase files. Many dynamical data analyses and reports need to combine the data from different sources. Therefore, automatically and directly pulling data from different database management systems (DBMS) or spreadsheets into SAS will be v ...
Ontology
... • Providing access to relevant, timely and reliable data (Veracity). • Delivering value to the information customers by providing agile methods, techniques and tools. • Providing the ability to ask questions extemporaneously. ...
... • Providing access to relevant, timely and reliable data (Veracity). • Delivering value to the information customers by providing agile methods, techniques and tools. • Providing the ability to ask questions extemporaneously. ...
Managing Data Resources
... • Designing databases – Conceptual or Logical design • Abstract model from business perspective • Detail description of the business information need of the actual end users – How the data elements to be grouped ...
... • Designing databases – Conceptual or Logical design • Abstract model from business perspective • Detail description of the business information need of the actual end users – How the data elements to be grouped ...
Performance Problems of Forecasting Systems
... this domain, one of the most used solutions is to select useful intermediate results and store them as materialized views. Many approaches have been proposed for the selection of materialized views. The main idea is to use the greedy approaches[4, 6, 10]. These solutions preprocess the most benefici ...
... this domain, one of the most used solutions is to select useful intermediate results and store them as materialized views. Many approaches have been proposed for the selection of materialized views. The main idea is to use the greedy approaches[4, 6, 10]. These solutions preprocess the most benefici ...
Introduction to the Oracle Application Development Framework 11g
... • Service Oriented Interface – Abstract implementation from clients – Loose coupling between services and application ...
... • Service Oriented Interface – Abstract implementation from clients – Loose coupling between services and application ...
Introduction to databases from a bioinformatics perspective
... Performance requirement is most often met through the use of indexes or keys More sophisticated database paradigms ...
... Performance requirement is most often met through the use of indexes or keys More sophisticated database paradigms ...
On the implementation of TCP urgent data
... RFC 793 explains that the UP simply represents a mark in the data stream where urgent data ends. Generally (but not actually specified in the RFCs), applications would skip (discard) all those data before the urgent mark. But all data would be in-band… However, virtually all stacks implement urgent ...
... RFC 793 explains that the UP simply represents a mark in the data stream where urgent data ends. Generally (but not actually specified in the RFCs), applications would skip (discard) all those data before the urgent mark. But all data would be in-band… However, virtually all stacks implement urgent ...
The Centre for Longitudinal Studies Missing Data Strategy
... Systematic differences between the missing values and the observed values can be explained by observed data ...
... Systematic differences between the missing values and the observed values can be explained by observed data ...
Introduction To Data Mining
... Data Mining query differs from Database query – Query not well formulated – Data in many sources – Output is mostly either visual or multimedia ...
... Data Mining query differs from Database query – Query not well formulated – Data in many sources – Output is mostly either visual or multimedia ...
Data warehousing in telecom Industry
... A data warehouse is a relational database that is designed for query and analysis rather than for transaction processing. It usually contains historical data derived from transaction data, but it can include data from other sources. It separates analysis workload from transaction workload and enable ...
... A data warehouse is a relational database that is designed for query and analysis rather than for transaction processing. It usually contains historical data derived from transaction data, but it can include data from other sources. It separates analysis workload from transaction workload and enable ...
data leakage detection
... A data distributor has given sensitive data to a set of supposedly trusted agents (third parties). Some of the data is leaked and found in an unauthorized place (e.g., on the web or somebody’s laptop). The distributor must assess the likelihood that the leaked data came from one or more agents, as o ...
... A data distributor has given sensitive data to a set of supposedly trusted agents (third parties). Some of the data is leaked and found in an unauthorized place (e.g., on the web or somebody’s laptop). The distributor must assess the likelihood that the leaked data came from one or more agents, as o ...
Integrating Star and Snowflake Schemas in Data Warehouses
... data. In this paper, a new design is proposed, named the starnest schema, for the logical modeling of DWs. Using nested methodology, data semantics can be explicitly represented. Part of the design involves providing a translation mechanism from the star/snowflake schemas to a nested representation. ...
... data. In this paper, a new design is proposed, named the starnest schema, for the logical modeling of DWs. Using nested methodology, data semantics can be explicitly represented. Part of the design involves providing a translation mechanism from the star/snowflake schemas to a nested representation. ...
PowerPoint Presentation - VIEWS - Visibility Information Exchange
... • Source data is obtained from data providers • Source data is extracted, transformed, and loaded into the FED relational database • Report templates that query the database and present the result in tables, graphs, and charts are added as “plug ins” to the Query Wizard • The end user selects a moni ...
... • Source data is obtained from data providers • Source data is extracted, transformed, and loaded into the FED relational database • Report templates that query the database and present the result in tables, graphs, and charts are added as “plug ins” to the Query Wizard • The end user selects a moni ...
Corporate Information Analysis Technologies
... A multidimensional database (MDB) is a type of database that is optimized for data warehouse and online analytical processing (OLAP) applications. Multidimensional databases are frequently created using input from existing relational databases. Whereas a relational database is typically accessed usi ...
... A multidimensional database (MDB) is a type of database that is optimized for data warehouse and online analytical processing (OLAP) applications. Multidimensional databases are frequently created using input from existing relational databases. Whereas a relational database is typically accessed usi ...
Taking Your Application Design to the Next Level with SQL
... Embed visualizations into Windows Forms applications to allow users to explore and understand the discovered patterns Integrate predictions: Data correction during ETL processing Targeted advertising “Those that bought this book also purchased these books” Any many more scenarios… ...
... Embed visualizations into Windows Forms applications to allow users to explore and understand the discovered patterns Integrate predictions: Data correction during ETL processing Targeted advertising “Those that bought this book also purchased these books” Any many more scenarios… ...
Data Modeling
... adheres to a discipline that uses the relational model with some important restrictions. Every dimensional model is composed of one table with a multipart key, called the fact table, and a set of smaller tables called dimension tables. Each dimension table has a single-part primary key that correspo ...
... adheres to a discipline that uses the relational model with some important restrictions. Every dimensional model is composed of one table with a multipart key, called the fact table, and a set of smaller tables called dimension tables. Each dimension table has a single-part primary key that correspo ...
Data connection and manipulation of archaeological database
... select the tables to include in the view and their relationships, then specify selection criteria, fields, ordering, grouping, and update criteria. The update criteria lets to specify which columns can be updated, which columns should be treated as keys for matching buffered rows back to rows on the ...
... select the tables to include in the view and their relationships, then specify selection criteria, fields, ordering, grouping, and update criteria. The update criteria lets to specify which columns can be updated, which columns should be treated as keys for matching buffered rows back to rows on the ...
Pentaho BI Suite
... A cube is a named collection of measures and dimensions. The one thing the measures and dimensions have in common is the fact table, here "exam". As we shall see, the fact table holds the columns from which measures are calculated, and contains references to the tables which hold the dimensions.
... A cube is a named collection of measures and dimensions. The one thing the measures and dimensions have in common is the fact table, here "exam". As we shall see, the fact table holds the columns from which measures are calculated, and contains references to the tables which hold the dimensions.
Lesson15 Data_Warehousing
... All natural keys are replaced with surrogate keys (branch Id instead of branch #). Means that every join between fact and dimension tables is based on surrogate (intelligence) keys, not natural keys. ...
... All natural keys are replaced with surrogate keys (branch Id instead of branch #). Means that every join between fact and dimension tables is based on surrogate (intelligence) keys, not natural keys. ...
Teaching Database Design Concepts With Access 2010 Session
... Determine data types for fields Identify and remove unwanted redundancy Storing a piece of data in more than one place ...
... Determine data types for fields Identify and remove unwanted redundancy Storing a piece of data in more than one place ...
Data model
A data model organizes data elements and standardizes how the data elements relate to one another. Since data elements document real life people, places and things and the events between them, the data model represents reality, for example a house has many windows or a cat has two eyes. Computers are used for the accounting of these real life things and events and therefore the data model is a necessary standard to ensure exact communication between human beings.Data models are often used as an aid to communication between the business people defining the requirements for a computer system and the technical people defining the design in response to those requirements. They are used to show the data needed and created by business processes.Precise accounting and communication is a large expense and organizations traditionally paid the cost by having employees translate between themselves on an ad hoc basis. In critical situations such as air travel, healthcare and finance, it is becoming commonplace that the accounting and communication must be precise and therefore requires the use of common data models to obviate risk.According to Hoberman (2009), ""A data model is a wayfinding tool for both business and IT professionals, which uses a set of symbols and text to precisely explain a subset of real information to improve communication within the organization and thereby lead to a more flexible and stable application environment.""A data model explicitly determines the structure of data. Data models are specified in a data modeling notation, which is often graphical in form.A data model can be sometimes referred to as a data structure, especially in the context of programming languages. Data models are often complemented by function models, especially in the context of enterprise models.